Overview In this role you will architect and evolve Preply’s ML platform to move research into production at scale. You’ll design cloud-native systems for distributed training and inference, with strong emphasis on observability, testing, and cost-efficiency. You will partner with ML leads and engineers to set standards, enable experimentation, and deliver modular, measurable ML services. This position offers impact across product teams and a chance to shape the future of a global learning platform. Compensaciones / Incentivos * lesson allowance (monthly) * Learning & Development budget * time off for self-development * equity * health insurance * mental health support platforms Responsabilidades * Design and implement the ML platform architecture (experiment tracking, artifact management, scalable deployment) * Build cloud-native distributed training and inference solutions with GPU support and autoscaling * Own CI/CD for ML, including testing, validation, and performance checks * Embed observability across ML workflows (metrics, alerts, drift detection, lineage)



* Mentor engineers, influence standards, and reduce risk in complex decisions * Align platform direction with experimentation velocity, cost-efficiency, and user impact * Develop modular, testable ML services with monitoring from day one * Contribute to LLM platform capabilities (RAG pipelines, latency-optimized inference, prompt experimentation frameworks) Requisitos principales * 8+ years of engineering experience in large-scale Data/ML platforms * Deep knowledge of cloud services and end-to-end ML workflows (versioning, monitoring, performance benchmarking) * Experience collaborating with scientists and building enabling tools * Excellent communication and cross-functional influence; mentoring ML engineers * Familiarity with LLM frameworks (LangChain, LlamaIndex), vector stores, and retrieval infrastructure * communication and influence * mentoring and coaching * cross-functional collaboration * cloud-n

📌 Staff Machine Learning Ops Engineer (Barcelona)
🏢 Preply
📍 Barcelona